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timeplyr  

Fast Tidy Tools for Date and Date-Time Manipulation
View on CRAN: Click here


Download and install timeplyr package within the R console
Install from CRAN:
install.packages("timeplyr")

Install from Github:
library("remotes")
install_github("cran/timeplyr")

Install by package version:
library("remotes")
install_version("timeplyr", "0.8.2")



Attach the package and use:
library("timeplyr")
Maintained by
Nick Christofides
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-15
Latest Update: 2023-12-12
Description:
A set of fast tidy functions for wrangling, completing and summarising date and date-time data. It combines 'tidyverse' syntax with the efficiency of 'data.table' and speed of 'collapse'.
How to cite:
Nick Christofides (2023). timeplyr: Fast Tidy Tools for Date and Date-Time Manipulation. R package version 0.8.2, https://cran.r-project.org/web/packages/timeplyr. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.0 (2023-10-15 09:50), 0.2.1 (2023-10-31 23:30), 0.3.0 (2023-11-13 22:10), 0.4.0 (2023-11-19 09:20), 0.4.1 (2023-11-24 10:20), 0.5.0 (2023-12-12 13:20), 0.8.0 (2024-05-22 23:10), 0.8.1 (2024-06-05 19:30)
Other packages that cited timeplyr R package
View timeplyr citation profile
Other R packages that timeplyr depends, imports, suggests or enhances
Complete documentation for timeplyr
Functions, R codes and Examples using the timeplyr R package
Some associated functions: age_years . calendar . cpp_which . crossed_join . desc . duplicate_rows . edf . farrange . fast_stats . fcount . fdistinct . fexpand . fgroup_by . frowid . fselect . fskim . fslice . gcd . get_time_delay . group_collapse . group_id . groups_equal . growth . growth_rate . gsum . gunique . is_date . is_whole_number . iso_week . missing_dates . num_na . q_summarise . roll_apply . roll_lag . roll_na_fill . roll_sum . sequence . stat_summarise . time_aggregate . time_by . time_core . time_count . time_cut . time_diff . time_diff_gcd . time_distinct . time_elapsed . time_episodes . time_expand . time_gaps . time_ggplot . time_id . time_is_regular . time_lag . time_mutate . time_roll . time_roll_diff . time_seq . time_seq_id . time_summarise . time_units . timeplyr-package . top_n . ts_as_tibble . unit_guess . weighted_mean . year_month . 
Some associated R codes: GRP_utils.R . age_years.R . calendar.R . cpp11.R . cpp_which.R . crossed_join.R . desc.R . df_utils.R . dt_utils.R . duplicate_rows.R . edf.R . farrange.R . fast_stats.R . fcount.R . fdistinct.R . fexpand.R . fgroup_by.R . frowid.R . fselect.R . fskim.R . fslice.R . function_utils.R . gcd.R . get_time_delay.R . globals.R . group_collapse.R . group_id.R . groups_equal.R . growth.R . growth_rate.R . gsum.R . gunique.R . hexsticker.R . is_date.R . is_whole_number.R . iso_week.R . missing_dates.R . num_na.R . periods.R . q_summarise.R . roll.R . roll_across.R . roll_apply.R . roll_lag.R . roll_na_fill.R . roll_utils.R . sequence.R . stat_summarise.R . time_aggregate.R . time_by.R . time_core.R . time_count.R . time_cut.R . time_diff.R . time_diff_gcd.R . time_distinct.R . time_elapsed.R . time_episodes.R . time_expand.R . time_gaps.R . time_ggplot.R . time_id.R . time_interval.R . time_is_regular.R . time_lag.R . time_mutate.R . time_roll.R . time_roll_diff.R . time_seq.R . time_seq_id.R . time_summarise.R . time_units.R . time_utils.R . timeplyr-package.R . timeplyr.R . top_n.R . ts_as_tibble.R . unit_guess.R . weighted_mean.R . year_month.R . zzz.R .  Full timeplyr package functions and examples
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